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Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health



Andrew Lee , Jonathan K. Kummerfeld , Lawrence C. An , Rada Mihalcea

* To appear in Findings of EMNLP 2021 

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Mechanical Search on Shelves using Lateral Access X-RAY



Huang Huang , Marcus Dominguez-Kuhne , Jeffrey Ichnowski , Vishal Satish , Michael Danielczuk , Kate Sanders , Andrew Lee , Anelia Angelova , Vincent Vanhoucke , Ken Goldberg

* Huang Huang and Marcus Dominguez-Kuhne contributed equally 

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Balance Regularized Neural Network Models for Causal Effect Estimation



Mehrdad Farajtabar , Andrew Lee , Yuanjian Feng , Vishal Gupta , Peter Dolan , Harish Chandran , Martin Szummer

* Causal Discovery & Causality-Inspired Machine Learning Workshop at Neural Information Processing Systems, 2020 

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An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction



Stefan Larson , Anish Mahendran , Joseph J. Peper , Christopher Clarke , Andrew Lee , Parker Hill , Jonathan K. Kummerfeld , Kevin Leach , Michael A. Laurenzano , Lingjia Tang , Jason Mars

* Accepted to EMNLP-IJCNLP 2019 

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Outlier Detection for Improved Data Quality and Diversity in Dialog Systems



Stefan Larson , Anish Mahendran , Andrew Lee , Jonathan K. Kummerfeld , Parker Hill , Michael A. Laurenzano , Johann Hauswald , Lingjia Tang , Jason Mars

* Accepted as long paper to NAACL 2019 

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Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data



Michael Danielczuk , Matthew Matl , Saurabh Gupta , Andrew Li , Andrew Lee , Jeffrey Mahler , Ken Goldberg

* In proceedings of ICRA 2019/ 

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Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds



Michael Danielczuk , Matthew Matl , Saurabh Gupta , Andrew Li , Andrew Lee , Jeffrey Mahler , Ken Goldberg


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